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Commit b67d8a41 authored by Mitar's avatar Mitar
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Merge branch 'featuretools-primitives-0.7.2' into 'master' 

MIT/FeatureLabs - update pipelines and primitive annotations

See merge request !140
parents c6c9b20c 458ae215
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v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/18ec89ad-8eff-4442-9f73-33c66e4807c1.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/11c323ae-10f1-4174-9886-0f58302606bd.yml
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- name: inputs
outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/b6f69f36-d995-4b58-8995-2ab51f7c132a.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/1ddbccbb-70e1-417e-b2da-ba46a28ea0d9.yml
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inputs:
- name: inputs
outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/d9175455-aba2-4454-9070-097b814890d9.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/44130e38-85b2-4213-9922-86da63c2f42e.yml
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inputs:
- name: inputs
outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/7a94cb53-d37d-4cf5-9288-0e60187f140c.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/5f86d57c-7d8c-437b-a77b-0ee1574d1d47.yml
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inputs:
- name: inputs
outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/c5b78a7e-fb84-422a-a359-622e27dfe6b9.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/a8241394-4db0-4adf-a650-3e149a0af97c.yml
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inputs:
- name: inputs
outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/9f6ded39-c18a-4954-804d-43f3d2241ad6.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/aae8edb2-ce99-4ec5-8533-b35b44450b40.yml
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id: aae8edb2-ce99-4ec5-8533-b35b44450b40
inputs:
- name: inputs
outputs:
- data: steps.4.produce
- data: steps.5.produce
name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
steps:
......@@ -40,6 +40,35 @@ steps:
inputs:
data: steps.0.produce
type: CONTAINER
hyperparams:
primitive:
data:
case: unsupervised_learner
value:
class: d3m.primitives.schema_discovery.profiler.Common
type: VALUE
resources:
data:
case: all
value: all
type: VALUE
outputs:
- id: produce
primitive:
digest: d564c75f0aebfb9cc70a808b11550cc199701e1a7d24d94b1c865aff233887d8
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
hyperparams:
max_features:
data: 10
type: VALUE
outputs:
- id: produce
primitive:
......@@ -51,7 +80,7 @@ steps:
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
data: steps.2.produce
type: CONTAINER
hyperparams:
use_semantic_types:
......@@ -68,10 +97,10 @@ steps:
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
data: steps.3.produce
type: CONTAINER
outputs:
data: steps.1.produce
data: steps.2.produce
type: CONTAINER
outputs:
- id: produce
......@@ -84,10 +113,10 @@ steps:
type: PRIMITIVE
- arguments:
inputs:
data: steps.3.produce
data: steps.4.produce
type: CONTAINER
reference:
data: steps.1.produce
data: steps.2.produce
type: CONTAINER
outputs:
- id: produce
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/d9bbe1fd-b935-49ce-a317-4d5baaf97319.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/e9a09b76-5cea-4184-adc0-8666da234501.yml
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inputs:
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outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/38483b05-d8a1-4dfb-b299-4553d6e08cd2.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.MultiTableFeaturization/0.7.2/pipelines/faa0ef1b-da85-4b6b-a592-a7d27dc226ec.yml
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inputs:
- name: inputs
outputs:
- data: steps.4.produce
- data: steps.5.produce
name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
steps:
......@@ -41,11 +41,32 @@ steps:
data: steps.0.produce
type: CONTAINER
hyperparams:
max_features:
data: 10
primitive:
data:
case: unsupervised_learner
value:
class: d3m.primitives.schema_discovery.profiler.Common
type: VALUE
resources:
data:
case: all
value: all
type: VALUE
outputs:
- id: produce
primitive:
digest: d564c75f0aebfb9cc70a808b11550cc199701e1a7d24d94b1c865aff233887d8
id: 5bef5738-1638-48d6-9935-72445f0eecdc
name: Map DataFrame resources to new resources using provided primitive
python_path: d3m.primitives.operator.dataset_map.DataFrameCommon
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
digest: 0978d3fbc2847089e30112edfd6073d85f631f85b8382add7850df4d58640028
id: e659ef3a-f17c-4bbf-9e5a-13de79a4e55b
......@@ -55,7 +76,7 @@ steps:
type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
data: steps.2.produce
type: CONTAINER
hyperparams:
use_semantic_types:
......@@ -72,10 +93,10 @@ steps:
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
data: steps.3.produce
type: CONTAINER
outputs:
data: steps.1.produce
data: steps.2.produce
type: CONTAINER
outputs:
- id: produce
......@@ -88,10 +109,10 @@ steps:
type: PRIMITIVE
- arguments:
inputs:
data: steps.3.produce
data: steps.4.produce
type: CONTAINER
reference:
data: steps.1.produce
data: steps.2.produce
type: CONTAINER
outputs:
- id: produce
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/3c2078f8-9b47-4642-b735-42a15fb7c540.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/1f83d66d-4d26-442c-8bd9-f7eb1ff48f6c.yml
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inputs:
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outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/6be3a872-9177-47f3-b025-586949462d38.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/2b9fed91-76ca-4fec-ab45-79c6f6b6ee78.yml
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inputs:
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outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/4eb60bb5-74c2-40e3-8895-870fef7de72d.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/3e50893f-20ee-49bc-9068-86f6351fd4b3.yml
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inputs:
- name: inputs
outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/6bb43aef-d20f-42a2-8d5f-d47a027be241.yml → v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/52871b50-93e0-4723-b66c-3e839d7ef86f.yml
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inputs:
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outputs:
......
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/6bb8afa1-5a2e-4535-9a18-7263cb3bd3f5.yml 0 → 100644
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inputs:
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outputs:
- data: steps.5.produce
name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
steps:
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inputs:
data: inputs.0
type: CONTAINER
outputs:
- id: produce
primitive:
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id: 4b42ce1e-9b98-4a25-b68e-fad13311eb65
name: Extract a DataFrame from a Dataset
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version: 0.3.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.0.produce
type: CONTAINER
outputs:
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primitive:
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type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
outputs:
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primitive:
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id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.7.2
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
hyperparams:
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type: VALUE
outputs:
- id: produce
primitive:
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python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.11.13
type: PRIMITIVE
- arguments:
inputs:
data: steps.3.produce
type: CONTAINER
outputs:
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type: CONTAINER
outputs:
- id: produce
primitive:
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name: XGBoost GBTree classifier
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type: PRIMITIVE
- arguments:
inputs:
data: steps.4.produce
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reference:
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primitive:
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name: Construct pipeline predictions output
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type: PRIMITIVE
v2020.1.9/MIT_FeatureLabs/d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization/0.7.2/pipelines/7d7e76d1-b7d8-4342-8e9a-0d6a4be29746.yml deleted 100644 → 0
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inputs:
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outputs:
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name: output predictions
schema: https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json
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outputs:
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primitive:
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name: Extract a DataFrame from a Dataset
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version: 0.3.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.0.produce
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primitive:
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name: Parses strings into their types
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type: PRIMITIVE
- arguments:
inputs:
data: steps.1.produce
type: CONTAINER
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primitive:
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id: 6c5dcfa3-1f87-4066-b16a-88c9c971f6e3
name: Single Table Deep Feature Synthesis
python_path: d3m.primitives.feature_construction.deep_feature_synthesis.SingleTableFeaturization
version: 0.7.2
type: PRIMITIVE
- arguments:
inputs:
data: steps.2.produce
type: CONTAINER
hyperparams:
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outputs:
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primitive:
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id: d016df89-de62-3c53-87ed-c06bb6a23cde
name: sklearn.impute.SimpleImputer
python_path: d3m.primitives.data_cleaning.imputer.SKlearn
version: 2019.11.13
type: PRIMITIVE
- arguments:
inputs:
data: steps.3.produce
type: CONTAINER
outputs:
data: steps.1.produce
type: CONTAINER
outputs:
- id: produce
primitive:
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id: cdbb80e4-e9de-4caa-a710-16b5d727b959
name: XGBoost GBTree regressor
python_path: d3m.primitives.regression.xgboost_gbtree.Common
version: 0.1.0
type: PRIMITIVE
- arguments:
inputs:
data: steps.4.produce
type: CONTAINER
reference:
data: steps.1.produce